gene_fdrtest {DNLC} | R Documentation |
Use local false discovery rate for the detection of genes with significant LMI change
Description
This function use locfdr function to calculate fdr_result
Usage
gene_fdrtest(gene.data)
Arguments
gene.data |
gene_id_all: gene id t_data: t statistic for each gene |
Value
return fdr_result for t_data
fdr$name |
all gene id |
fdr$fdr |
fdr value for gene |
Examples
## Not run:
simulation <- init_simulation_gene_net()
t_data = DNLC_statistics(simulation$gene_graph, simulation$gene_expr,
simulation$patient_matrix, lmi_data=simulation$lmi_matrix)
fdr_result <- gene_fdrtest(t_data)
sig_genes <- significant_genes(fdr_obj = fdr_result, thres = 0.2)
## End(Not run)
[Package DNLC version 1.0.0 Index]